CN108091382A - Physical signs analysis method and system - Google Patents
Physical signs analysis method and system Download PDFInfo
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- CN108091382A CN108091382A CN201810085712.6A CN201810085712A CN108091382A CN 108091382 A CN108091382 A CN 108091382A CN 201810085712 A CN201810085712 A CN 201810085712A CN 108091382 A CN108091382 A CN 108091382A
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Abstract
This application discloses a kind of physical signs analysis method and systems.Method includes：Obtain the first data of physiological index and the first training data；Big data analysis is carried out to first data of physiological index and first training data, and the first training program is formulated according to analysis result；Rehabilitation training is carried out by first training program, obtains the second training data, wherein, second training data is for the content as next stage big data analysis.Present application addresses due to the technical issues of training effect is limited caused by physical signs analysis ability difference.System solves the technical issues of above method is identical.
Description
Technical field
This application involves the communications field, in particular to a kind of physical signs analysis method and system.
Background technology
With China's economic development and the raising of medical level, the average life span is continuously improved, and thing followed population is aged
Change problem becomes increasingly conspicuous.《Chinese programs for the elderly development report (2014)》It has been shown that, by the end of the year 2014, more than China 60 years old always
Year size of population accounts for the 15.5% of total population, disability old man is more than 38,000,000 people up to 2.12 hundred million；To before 2025, China's advanced age
Elderly population by keep average annual 1000000 growing trend.
Physical function is degenerated and disease is easy to cause serious dyskinesia, not only influences the health of the elderly, and
And substantial amounts of work personnel is needed to bear treatment, nursery work, add society and the burden of patient home.The limb to increase sharply
For contradiction between body disability patient and rehabilitation medical resource poorly efficient, in short supply there are extension trend, China or even the whole world are urgent
The rehabilitation medicine equipment of more advanced, intelligence, hommization is needed to tackle " the rehabilitation main forces " of getting worse, robot will be at this
A field plays a significant role.
Mainly include two classes for old and deformity of limbs patient rehabilitation equipment currently on the market, one kind realizes work(of riding instead of walk
Can be such as wheelchair class product, one kind realizes training function such as leg training bicycle device for rehabilitation, but can not monitoring of physiologic index, cause
The state of an illness and rehabilitation degree can not be known in real time, and then can not formulate effective training according to the emerging state of an illness and rehabilitation degree
Scheme.
For, to training effect limitation problem caused by physical signs analysis ability difference, not yet being proposed at present in correlation technique
Effective solution.
The content of the invention
The main purpose of the application is to provide a kind of physical signs analysis method, to solve to physical signs analysis ability
Training effect limitation problem caused by difference.
To achieve these goals, according to the one side of the application, a kind of physical signs analysis method is provided.According to
The physical signs analysis method of the application includes：Obtain the first data of physiological index and the first training data；It is given birth to described first
It manages achievement data and first training data carries out big data analysis, and the first training program is formulated according to analysis result；It is logical
It crosses first training program and carries out rehabilitation training, obtain the second training data, wherein, second training data is used for conduct
The content of next stage big data analysis.
Further, the acquisition of the first training program includes：According to the big data point to first data of physiological index
Analysis, obtains diagnosis report；According to the big data analysis to first training data, evaluation of training report is obtained；According to described
Diagnosis report and evaluation of training report, formulate first training program.
Further, obtaining the first data of physiological index includes：Detection obtains blood pressure, blood oxygen and the blood glucose of object to be detected
Information, wherein, the blood pressure, blood oxygen and blood glucose information are high with the presence or absence of three for diagnosing the object to be detected；Detection obtains
The pulse information of object to be detected, wherein, the pulse information whether there is heart disease for diagnosing the object to be detected；
Detection obtains the body temperature information of object to be detected, wherein, the body temperature that the body temperature information is used to diagnose the object to be detected is
No supercooling or overheat.
Further, the acquisition of the training data of the first training data/second includes：The time in rehabilitation training is counted, is obtained
To training total duration；The difficulty in rehabilitation training is counted, obtains average training difficulty；The speed in rehabilitation training is counted, is obtained
Average training speed.
Further, first training program is under the setting operation difficulty of required completion within a cycle of training
Training burden.
Further, obtain further including after the second training data：Identify the identity in first data of physiological index
Information；Electronic medical record cards are established according to recognition result, and the analysis result and described are write in the electronic medical record cards
One training program.
To achieve these goals, according to the another aspect of the application, a kind of physical signs analytical equipment is provided.
Included according to the physical signs analytical equipment of the application：Acquiring unit, for obtain the first data of physiological index and
First training data；Analytic unit, for carrying out big data to first data of physiological index and first training data
Analysis, and the first training program is formulated according to analysis result；Training unit, for carrying out rehabilitation by first training program
Training, obtains the second training data, wherein, second training data is for the content as next stage big data analysis.
Further, the analytic unit includes：Diagnostic module, for according to the big of first data of physiological index
Data analysis obtains diagnosis report；Evaluation of training module, for according to the big data analysis to first training data, obtaining
It is reported to evaluation of training；Solution formulation module, for according to the diagnosis report and evaluation of training report, formulating described the
One training program.
Further, the acquiring unit includes：First detection module, for detect obtain object to be detected blood pressure,
Blood oxygen and blood glucose information, wherein, the blood pressure, blood oxygen and blood glucose information whether there is three for diagnosing the object to be detected
It is high；Second detection module, for detecting the pulse information for obtaining object to be detected, wherein, the pulse information is used to diagnose institute
Object to be detected is stated with the presence or absence of heart disease；3rd detection module, for detecting the body temperature information for obtaining object to be detected,
In, whether the body temperature that the body temperature information is used to diagnose the object to be detected is subcooled or overheats.
Further, acquiring unit/training unit includes：First statistical module, for counting the time in rehabilitation training,
It obtains training total duration；Second statistical module for counting the operation difficulty in rehabilitation training, obtains average operation difficulty；The
Three statistical modules for counting the speed in rehabilitation training, obtain average training speed.
In the embodiment of the present application, by the way of detection and analysis, the physical signs number in each stage is obtained by cycling
According to and training data, achieved the purpose that each stage-training solution formulation, it is achieved thereby that promoted physical signs analysis ability
Technique effect, and then solve due to the training effect caused by physical signs analysis ability difference it is limited the technical issues of.
Description of the drawings
The attached drawing for forming the part of the application is used for providing further understanding of the present application so that the application's is other
Feature, objects and advantages become more apparent upon.The illustrative examples attached drawing and its explanation of the application is for explaining the application, not
Form the improper restriction to the application.In the accompanying drawings：
Fig. 1 is the physical signs analysis method flow diagram according to the application first embodiment；
Fig. 2 is the physical signs analysis method flow diagram according to the application second embodiment；
Fig. 3 is the physical signs analysis method flow diagram according to the application 3rd embodiment；
Fig. 4 is the physical signs analysis method flow diagram according to the application fourth embodiment；
Fig. 5 is the physical signs analysis method flow diagram according to the 5th embodiment of the application；
Fig. 6 is the physical signs analytical equipment structure diagram according to the application first embodiment；
Fig. 7 is the physical signs analytical equipment structure diagram according to the application second embodiment；
Fig. 8 is the physical signs analytical equipment structure diagram according to the application 3rd embodiment；
Fig. 9 is the physical signs analytical equipment structure diagram according to the application fourth embodiment；
Figure 10 is the structure diagram according to the rehabilitation training of the embodiment of the present application.
Specific embodiment
In order to which those skilled in the art is made to more fully understand application scheme, below in conjunction in the embodiment of the present application
The technical solution in the embodiment of the present application is clearly and completely described in attached drawing, it is clear that described embodiment is only
The embodiment of the application part, instead of all the embodiments.Based on the embodiment in the application, ordinary skill people
Member's all other embodiments obtained without making creative work should all belong to the model of the application protection
It encloses.
It should be noted that term " first " in the description and claims of this application and above-mentioned attached drawing, "
Two " etc. be the object for distinguishing similar, without being used to describe specific order or precedence.It should be appreciated that it so uses
Data can exchange in the appropriate case, so as to embodiments herein described herein.In addition, term " comprising " and " tool
Have " and their any deformation, it is intended that cover it is non-exclusive include, for example, containing series of steps or unit
Process, method, system, product or equipment are not necessarily limited to those steps or unit clearly listed, but may include without clear
It is listing to Chu or for the intrinsic other steps of these processes, method, product or equipment or unit.
In this application, term " on ", " under ", "left", "right", "front", "rear", " top ", " bottom ", " interior ", " outer ",
" in ", " vertical ", " level ", " transverse direction ", the orientation of the instructions such as " longitudinal direction " or position relationship be based on orientation shown in the drawings or
Position relationship.These terms are not intended to limit indicated primarily to preferably describe the utility model and embodiment
Device, element or component must have and particular orientation or constructed and operated with particular orientation.
Also, above-mentioned part term is in addition to it can be used to indicate that orientation or position relationship, it is also possible to for representing it
His meaning, such as term " on " also be likely used for representing certain relations of dependence or connection relation in some cases.For ability
For the those of ordinary skill of domain, the concrete meaning of these terms in the present invention can be understood as the case may be.
In addition, term " installation ", " setting ", " being equipped with ", " connection ", " connected ", " socket " should be interpreted broadly.For example,
Can be fixedly connected, be detachably connected or monolithic construction；Can be mechanical connection or electrical connection；It can be direct phase
It is indirectly connected even or by intermediary or is the connections of two inside between device, element or component.
For those of ordinary skills, the concrete meaning of above-mentioned term in the present invention can be understood as the case may be.
It should be noted that in the case where there is no conflict, the feature in embodiment and embodiment in the application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
According to embodiments of the present invention, a kind of physical signs analysis method is provided, as shown in Figure 1, this method is including as follows
Step S102 to step S106：
S102, the first data of physiological index and the first training data are obtained；
Data of physiological index refers to the data for reacting physical condition of some patient within a cycle of training, including
But it is not limited to, blood pressure, pulse, blood oxygen, body temperature, electrocardio, breathing and blood glucose information, human body items machine is reacted by above- mentioned information
Energy situation, the form of above- mentioned information can be the line chart in the cycle, for reacting the variation feelings of the indices in the cycle
Condition；First data of physiological index refers to the indices situation of change that acquisition obtains in the cycle.Training data refers to react certain
The data of training of one patient within a cycle of training, include but not limited to, training time, operation difficulty and instruction
Practice velocity information, pass through above- mentioned information response training strength condition；First training data refers to obtain in a cycle of training,
The data analyzed within this cycle, the second training data refer to obtain in this cycle, be carried out within next cycle of training
The data of analysis.The acquisition of data of physiological index and training data can be detected by sensor, can also pass through other devices
Statistics obtain.It provides safeguard for big data analysis.
S104, carry out big data analysis to first data of physiological index and first training data, and according to point
It analyses result and formulates the first training program；
By the big data analysis to data of physiological index, the body diagnosis report of patient can be obtained, understands patient's
The state of an illness；By the big data analysis to training data, patient can be obtained in the rehabilitation for having one cycle of training of carry out being directed to
Rehabilitation degree after training (leg or hand are taken exercise)；The form of big data analysis：Judge according in doctor's input or this method
The state of an illness constantly update, improve case storehouse, make so as to accurately pass through the corresponding symptom in case storehouse and data of physiological index
It compares, so as to diagnose the state of an illness of patient；Plan in the training data counted by this cycle of training, with upper a cycle
Scheme compares, and analyzes and obtain training completeness, and completeness is related with training strength, and intensity is bigger, and completeness is higher；Doctor
Person, person guardian or computer can evaluate the rehabilitation degree of patient according to training completeness；Big data analysis is obtained
The state of an illness and rehabilitation degree arrived is as the influence condition for formulating training program.So as to which guardian, doctor or computer can be real
When understand the state of an illness of patient and rehabilitation degree, and by formulating effective training program, realize the promotion of training effect.First
Training program refers to the training reference data that analysis is formulated in this cycle of training, and guarantor is provided for the training in next cycle of training
Card.Preferably, first training program is the training burden under the setting operation difficulty of required completion within a cycle of training.
S106, rehabilitation training is carried out by first training program, obtains the second training data, wherein, described second
Training data is for the content as next stage big data analysis.
Next stage big data analysis refers to the second training data as progress big data analysis in next cycle of training
Influence factor so moves in circles, until rehabilitation degree reaches preferable degree.Patient may be referred to training program, pass through leg
Portion or hand exercise device carry out rehabilitation training；Rehabilitation is carried out as leg training device preferably, is only passed through in the present embodiment
Training, and the training device has the function of mobile trip, as shown in Figure 10, which is robot body, robot
Body includes：Rehabilitation training unit and trip unit, rehabilitation training unit, for carrying out health under the rehabilitation training pattern of adjusting
Refreshment is practiced, and the rehabilitation training pattern is according to training strength grade classification；Go on a journey unit, for according to setting start and stop, turn
To being moved or stopped with translational speed；It is preferably leg rehabilitation training in the present embodiment, is directed to the inconvenience of the elderly's legs and feet
The present situation of profit, provides effective training method；Training mode is adjusted can be real by speech recognition controlled, key switch control etc.
It now triggers, after receiving the triggering and identifying, then is specifically controlled；Multiple strength grades are divided according to training strength, often
A strength grade corresponds to a trigger signal, after the trigger signal for identifying respective intensities, controls to adjust to the corresponding training mode
Under, training strength is related with training time, operation difficulty, and the time is longer, the more big then training strength of difficulty is stronger；So as to logical
It crosses rehabilitation unit and realizes that patient has the rehabilitation training being directed to.Start and stop, steering and translational speed can by speech recognition controlled, press
The realizations triggering such as key switch control, after the triggering is distinguished, then is specifically controlled；By going on a journey, unit 2 is realized without people
Start and stop, steering and translational speed in order to control improve intelligence degree, and avoid artificial control turn to, translational speed
Inexactness.
It can be seen from the above description that the present invention realizes following technique effect：
In the embodiment of the present application, by the way of detection and analysis, the physical signs number in each stage is obtained by cycling
According to and training data, achieved the purpose that each stage-training solution formulation, it is achieved thereby that promoted physical signs analysis ability
Technique effect, and then solve due to the training effect caused by physical signs analysis ability difference it is limited the technical issues of.
According to embodiments of the present invention, it is preferable that as shown in Fig. 2, the acquisition of the first training program includes：
S202, basis obtain diagnosis report to the big data analysis of first data of physiological index；
S204, basis obtain evaluation of training report to the big data analysis of first training data；
S206, reported according to the diagnosis report and the evaluation of training, formulate first training program.
By the big data analysis to data of physiological index, the body diagnosis report of patient can be obtained, understands patient's
The state of an illness；By the big data analysis to training data, patient can be obtained in the rehabilitation for having one cycle of training of carry out being directed to
Rehabilitation degree after training (leg or hand are taken exercise), i.e. evaluation of training are reported；The state of an illness that big data analysis is obtained and rehabilitation
Degree is as the influence condition for formulating training program.So as to which guardian, doctor or computer can understand the disease of patient in real time
Feelings and rehabilitation degree, and by formulating effective training program, realize the promotion of training effect.
According to embodiments of the present invention, it is preferable that as shown in figure 3, obtaining the first data of physiological index includes：
S302, detection obtain blood pressure, blood oxygen and the blood glucose information of object to be detected, wherein, the blood pressure, blood oxygen and blood glucose
Information is high with the presence or absence of three for diagnosing the object to be detected；
S304, detection obtain the pulse information of object to be detected, wherein, the pulse information is described to be detected for diagnosing
Object whether there is heart disease；
S306, detection obtain the body temperature information of object to be detected, wherein, the body temperature information is described to be detected for diagnosing
Whether the body temperature of object is subcooled or overheats.
It may determine that patient is high with the presence or absence of three by blood pressure, blood oxygen and blood glucose information, sentence as long as there is one not meet
Break to be high with three；Blood pressure, blood oxygen and blood are periodically detected by blood pressure sensor, blood oxygen transducer, blood-sugar detecting instrument respectively
Sugared data；And above-mentioned data beyond setting upper limit threshold when, be judged as three it is high or too low when, be judged as malnutrition
Deng；It may determine that patient whether there is heart disease by pulse information；By body temperature information can decide whether flu or
It is cold；So as to the situation according to judgement, reasonable, effective and pin difference patient different training programs are formulated, make movement
Amount is without departing from the patient body upper limit；It will not measure very little and training effect is not achieved.
According to embodiments of the present invention, it is preferable that as shown in figure 4, the first training data/second training data acquisition bag
It includes：
It time in S402, statistics rehabilitation training, obtains training total duration；
Difficulty in S404, statistics rehabilitation training obtains average training difficulty；
Speed in S406, statistics rehabilitation training, obtains average training speed.
Training time is the total duration of the training in a cycle of training, and training difficulty is being averaged in a cycle of training
Training difficulty, training speed is the training speed in a cycle of training, by three above parameter after cycle of training is reached,
The training program in a cycle is referred again to, evaluates training completeness；Such as：It is calculated by training speed, training time
The training burden of formulation in training burden, with training program compares, if beyond the training burden of formulation, and operation difficulty is also beyond setting
Fixed operation difficulty, then it is assumed that training completeness is more than 100%, otherwise less than 100%；So as to complete by the training in multiple stages
Rehabilitation degree can be weighed into degree, reaches incremental training effect.
According to embodiments of the present invention, it is preferable that as shown in figure 5, being further included after obtaining the second training data：
Identity information in S502, identification first data of physiological index；
S504, electronic medical record cards are established according to recognition result, and the analysis result is write in the electronic medical record cards
With first training program.
Establish the electronic medical record cards of a certain position patient, and using in each cycle of training the state of an illness, rehabilitation degree is as disease
It goes through on content write-in card, consequently facilitating when subsequent inquiry and again disease hair, guardian or doctor can be used as to refer to, provided
Therapeutic scheme.
It should be noted that step shown in the flowchart of the accompanying drawings can be in such as a group of computer-executable instructions
It is performed in computer system, although also, show logical order in flow charts, it in some cases, can be with not
The order being same as herein performs shown or described step.
According to embodiments of the present invention, a kind of device for being used to implement above-mentioned physical signs analysis method, such as Fig. 6 are additionally provided
Shown, which includes：Acquiring unit 10, for obtaining the first data of physiological index and the first training data；Analytic unit 2,
For carrying out big data analysis to first data of physiological index and first training data, and formulated according to analysis result
First training program；Training unit for carrying out rehabilitation training by first training program, obtains the second training data,
Wherein, second training data is for the content as next stage big data analysis.
Specifically, data of physiological index refers to the number for reacting physical condition of some patient within a cycle of training
According to including but not limited to, blood pressure, pulse, blood oxygen, body temperature, electrocardio, breathing and blood glucose information are reacted by above- mentioned information
Human body items functional condition, the form of above- mentioned information can be the line chart in the cycle, refer to for reacting the items in the cycle
Target situation of change；First data of physiological index refers to the indices situation of change that acquisition obtains in the cycle.Training data
Refer to the data for reacting training of some patient within a cycle of training, include but not limited to, training time, behaviour
Make difficulty and training speed information, pass through above- mentioned information response training strength condition；First training data refers to a training
It is obtained in cycle, the data analyzed within this cycle, the second training data refers to obtain in this cycle, in next training
The data analyzed in cycle.The acquisition of data of physiological index and training data can be detected by sensor, can also be led to
The statistics for crossing other devices obtains.It provides safeguard for big data analysis.It, can be with by the big data analysis to data of physiological index
The body diagnosis report of patient is obtained, understands the state of an illness of patient；By the big data analysis to training data, patient can be obtained
Rehabilitation degree after the rehabilitation training (leg or hand are taken exercise) for having one cycle of training of the carry out being directed to；Big data analysis
Form：The state of an illness according to judging in doctor's input or this method is constantly updated, improves case storehouse, so as to accurately pass through disease
The corresponding symptom in example storehouse and data of physiological index compare, so as to diagnose the state of an illness of patient；By counting this cycle of training to obtain
Training data, the scheme with planning in upper a cycle compares, and analyzes and obtain training completeness, and completeness is strong with training
Spend related, intensity is bigger, and completeness is higher；Doctor, person guardian or computer can be evaluated according to training completeness
The rehabilitation degree of patient；The state of an illness and rehabilitation degree that big data analysis is obtained are as the influence condition for formulating training program.From
And guardian, doctor or computer can understand the state of an illness of patient and rehabilitation degree in real time, and by formulating effective instruction
Practice scheme, realize the promotion of training effect.First training program refers to the training reference data that analysis is formulated in this cycle of training,
Guarantee is provided for the training in next cycle of training.Preferably, first training program is the institute within a cycle of training
Training burden under the setting operation difficulty that need to be completed.Next stage big data analysis refers to the second training data as next training
The influence factor of big data analysis is carried out in cycle, is so moved in circles, until rehabilitation degree reaches preferable degree.Patient can
To refer to training program, rehabilitation training is carried out by leg or hand exercise device；As preferred in the present embodiment, only pass through
Leg training device carries out rehabilitation training, and the training device has the function of mobile trip, as shown in Figure 10, the training device
For robot body, robot body includes：Rehabilitation training unit and trip unit, rehabilitation training unit, in adjusting
Rehabilitation training is carried out under rehabilitation training pattern, the rehabilitation training pattern is according to training strength grade classification；Trip unit, is used
It is moved or is stopped in start and stop, steering and the translational speed according to setting；Preferably leg rehabilitation training, pin in the present embodiment
For the present situation that the elderly's legs and feet are not convenient, effective training method is provided；Training mode adjusting can pass through speech recognition control
The realizations triggerings such as system, key switch control after receiving the triggering and identifying, then are specifically controlled；According to training strength
Divide multiple strength grades, each strength grade corresponds to a trigger signal, and after the trigger signal for identifying respective intensities, control is adjusted
For section under the corresponding training mode, training strength is related with training time, operation difficulty, and the time is longer, difficulty is more big, trains
Intensity is stronger；So as to realize that patient has the rehabilitation training being directed to by rehabilitation unit.Start and stop, steering and translational speed can be with
It is triggered by realizations such as speech recognition controlled, key switch controls, after the triggering is distinguished, then is specifically controlled；Pass through
Unit 2 of going on a journey is realized without artificially controlling start and stop, steering and translational speed, is improved intelligence degree, and is avoided artificial
Control turns to, the inexactness of translational speed.
It can be seen from the above description that the present invention realizes following technique effect：
In the embodiment of the present application, by the way of detection and analysis, the physical signs number in each stage is obtained by cycling
According to and training data, achieved the purpose that each stage-training solution formulation, it is achieved thereby that promoted physical signs analysis ability
Technique effect, and then solve due to the training effect caused by physical signs analysis ability difference it is limited the technical issues of.
According to embodiments of the present invention, it is preferable that as shown in fig. 7, the analytic unit 2 includes：Diagnostic module, for basis
To the big data analysis of first data of physiological index, diagnosis report is obtained；Evaluation of training module, for according to described the
The big data analysis of one training data obtains evaluation of training report；Solution formulation module, for according to the diagnosis report and institute
Evaluation of training report is stated, formulates first training program.By the big data analysis to data of physiological index, can be suffered from
The body diagnosis report of person understands the state of an illness of patient；By the big data analysis to training data, can obtain patient is having pin
To one cycle of training of carry out rehabilitation training (leg or hand are taken exercise) after rehabilitation degree, i.e. evaluation of training report；It will
The state of an illness and rehabilitation degree that big data analysis obtains are as the influence condition for formulating training program.So as to guardian, doctor or
Computer can understand the state of an illness of patient and rehabilitation degree in real time, and by formulating effective training program, realize training effect
The promotion of fruit.
According to embodiments of the present invention, it is preferable that as shown in figure 8, the acquiring unit 10 includes：First detection module is used
Blood pressure, blood oxygen and the blood glucose information of object to be detected are obtained in detection, wherein, the blood pressure, blood oxygen and blood glucose information are used to examine
The object to be detected that breaks is high with the presence or absence of three；Second detection module, for detecting the pulse information for obtaining object to be detected,
In, the pulse information whether there is heart disease for diagnosing the object to be detected；3rd detection module obtains for detecting
The body temperature information of object to be detected is obtained, wherein, whether the body temperature that the body temperature information is used to diagnose the object to be detected is subcooled
Or overheat.It may determine that patient is high with the presence or absence of three by blood pressure, blood oxygen and blood glucose information, judge as long as there is one not meet
It is three high to have；Blood pressure, blood oxygen and blood glucose are periodically detected by blood pressure sensor, blood oxygen transducer, blood-sugar detecting instrument respectively
Data；And above-mentioned data beyond setting upper limit threshold when, be judged as three it is high or too low when, be judged as malnutrition etc.；
It may determine that patient whether there is heart disease by pulse information；It can decide whether to catch a cold or tremble with fear by body temperature information
It is cold；So as to the situation according to judgement, reasonable, effective and pin difference patient different training programs are formulated, make amount of exercise
Without departing from the patient body upper limit；It will not measure very little and training effect is not achieved.
According to embodiments of the present invention, it is preferable that as shown in figure 9,10/ training unit of acquiring unit includes：First statistics mould
Block for counting the time in rehabilitation training, obtains training total duration；Second statistical module, for counting in rehabilitation training
Operation difficulty obtains average operation difficulty；3rd statistical module for counting the speed in rehabilitation training, obtains average training
Speed.Training time is the total duration of the training in a cycle of training, and training difficulty is the average instruction in a cycle of training
Practice difficulty, training speed is the training speed in a cycle of training, by three above parameter after cycle of training is reached, then
With reference to the training program in upper a cycle, training completeness is evaluated；Such as：Instruction is calculated by training speed, training time
Practice amount, compare with the training burden of the formulation in training program, if beyond the training burden of formulation, and operation difficulty is also beyond setting
Operation difficulty, then it is assumed that training completeness is more than 100%, otherwise less than 100%；So as to be completed by the training in multiple stages
Degree can weigh rehabilitation degree, reach incremental training effect.
Obviously, those skilled in the art should be understood that each module of the above-mentioned present invention or each step can be with general
Computing device realize that they can concentrate on single computing device or be distributed in multiple computing devices and be formed
Network on, optionally, they can be realized with the program code that computing device can perform, it is thus possible to which they are stored
In the storage device by computing device come perform either they are fabricated to respectively each integrated circuit modules or by they
In multiple modules or step be fabricated to single integrated circuit module to realize.In this way, the present invention is not limited to any specific
Hardware and software combines.
The foregoing is merely the preferred embodiments of the application, are not limited to the application, for the skill of this field
For art personnel, the application can have various modifications and variations.It is all within spirit herein and principle, made any repair
Change, equivalent substitution, improvement etc., should be included within the protection domain of the application.
Claims (10)
1. a kind of physical signs analysis method, which is characterized in that including：
Obtain the first data of physiological index and the first training data；
Big data analysis is carried out to first data of physiological index and first training data, and is formulated according to analysis result
First training program；
Rehabilitation training is carried out by first training program, obtains the second training data, wherein, second training data is used
In the content as next stage big data analysis.
2. physical signs analysis method according to claim 1, which is characterized in that the acquisition of the first training program includes：
According to the big data analysis to first data of physiological index, diagnosis report is obtained；
According to the big data analysis to first training data, evaluation of training report is obtained；
It is reported according to the diagnosis report and the evaluation of training, formulates first training program.
3. physical signs analysis method according to claim 1, which is characterized in that obtain the first data of physiological index bag
It includes：
Detection obtains blood pressure, blood oxygen and the blood glucose information of object to be detected, wherein, the blood pressure, blood oxygen and blood glucose information are used for
It is high with the presence or absence of three to diagnose the object to be detected；
Detection obtains the pulse information of object to be detected, wherein, the pulse information is used for whether diagnosing the object to be detected
There are heart diseases；
Detection obtains the body temperature information of object to be detected, wherein, the body temperature information is used to diagnose the body of the object to be detected
Whether temperature is subcooled or overheats.
4. physical signs analysis method according to claim 1, which is characterized in that the first training data/second trains number
According to acquisition include：
The time in rehabilitation training is counted, obtains training total duration；
The difficulty in rehabilitation training is counted, obtains average training difficulty；
The speed in rehabilitation training is counted, obtains average training speed.
5. physical signs analysis method according to claim 1, which is characterized in that first training program is at one
Training burden under the setting operation difficulty of required completion in cycle of training.
6. according to claim 1-4 any one of them physical signs analysis methods, which is characterized in that obtain the second training data
It further includes afterwards：
Identify the identity information in first data of physiological index；
Electronic medical record cards are established according to recognition result, and the analysis result and described first are write in the electronic medical record cards
Training program.
7. a kind of physical signs analytical equipment, which is characterized in that including：
Acquiring unit, for obtaining the first data of physiological index and the first training data；
Analytic unit, for carrying out big data analysis, and root to first data of physiological index and first training data
The first training program is formulated according to analysis result；
Training unit for carrying out rehabilitation training by first training program, obtains the second training data, wherein, it is described
Second training data is for the content as next stage big data analysis.
8. physical signs analytical equipment according to claim 7, which is characterized in that the analytic unit includes：
Diagnostic module, for according to the big data analysis to first data of physiological index, obtaining diagnosis report；
Evaluation of training module, for according to the big data analysis to first training data, obtaining evaluation of training report；
Solution formulation module, for according to the diagnosis report and evaluation of training report, formulating first training program.
9. physical signs analytical equipment according to claim 7, which is characterized in that the acquiring unit includes：
First detection module, for detecting the blood pressure, blood oxygen and the blood glucose information that obtain object to be detected, wherein, the blood pressure, blood
Oxygen and blood glucose information are high with the presence or absence of three for diagnosing the object to be detected；
Second detection module, for detecting the pulse information for obtaining object to be detected, wherein, the pulse information is used to diagnose institute
Object to be detected is stated with the presence or absence of heart disease；
3rd detection module, for detecting the body temperature information for obtaining object to be detected, wherein, the body temperature information is used to diagnose institute
Whether the body temperature for stating object to be detected is subcooled or overheats.
10. physical signs analytical equipment according to claim 7, which is characterized in that acquiring unit/training unit includes：
First statistical module for counting the time in rehabilitation training, obtains training total duration；
Second statistical module for counting the operation difficulty in rehabilitation training, obtains average operation difficulty；
3rd statistical module for counting the speed in rehabilitation training, obtains average training speed.
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